AI Data Center Engineer

📍 Pune, India | 🕐 Experience: 3–8 Years

🌐 About the Role

We are hiring an AI Data Center Engineer for a fast-growing, technology-driven organization working on next-generation AI infrastructure.

This role sits at the intersection of high-performance computing (HPC), GPU infrastructure, and advanced networking, enabling large-scale AI/ML workloads in production environments.

If you enjoy building systems from rack to runtime — and solving complex performance challenges — this is a high-impact opportunity.

🔧 Key Responsibilities

• Lead and support AI data center deployments, including rack integration, cabling, and hardware setup
• Perform GPU server commissioning, validation, and performance benchmarking
• Deploy and manage InfiniBand fabrics for high-throughput, low-latency workloads
• Configure and maintain Spectrum Ethernet networking (NVIDIA/Mellanox)
• Troubleshoot hardware, networking, and performance issues across GPU clusters
• Collaborate with Cloud, ML, and DevOps teams to ensure infrastructure readiness
• Validate cluster performance for AI/ML training and inference workloads
• Maintain documentation for deployments, configurations, and troubleshooting
• Ensure adherence to data center best practices (power, cooling, redundancy)

🎯 Required Skills & Experience

• Bachelor’s degree in Computer Science, Electrical Engineering, or related field
• 3+ years of experience in data center, HPC, or infrastructure environments
• Hands-on experience with GPU platforms (NVIDIA A100 / H100 or similar)
• Strong expertise in InfiniBand (RDMA, fabric setup, tuning)
• Experience with Spectrum switches (NVIDIA/Mellanox Ethernet)
• Solid Linux administration skills (RHEL / Ubuntu)
• Strong understanding of networking fundamentals (TCP/IP, VLANs, routing, QoS)
• Exposure to cluster orchestration tools (Kubernetes / Slurm is a plus)

⭐ Preferred Skills

• Experience with AI/ML infrastructure environments
• Knowledge of NVLink, GPUDirect, NCCL tuning
• Familiarity with automation tools (Ansible, Terraform, Python scripting)
• Experience in hyperscale or cloud environments
• Exposure to monitoring tools (Prometheus, Grafana)

🧠 Key Competencies

• Strong troubleshooting and problem-solving skills
• Ability to work in fast-paced, high-availability environments
• Excellent documentation and communication skills
• Team-oriented mindset with cross-functional collaboration

📜 Certifications (Good to Have)

• NVIDIA Certified Professional (NCP)
• CCNA / CCNP or equivalent
• Linux certifications (RHCE or similar)

💡 Why This Role?

• Work on cutting-edge AI infrastructure projects
• Exposure to GPU clusters, HPC networking, and large-scale deployments
• Opportunity to collaborate with high-impact engineering teams
• Be part of building future-ready AI platforms

📩 Apply Now

If you have hands-on experience in GPU infrastructure, InfiniBand networking, and data center environments, we would love to hear from you. Get direction 

👉 Share your profile at: info@orbitconsultancy.in | 8810363997
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